{"id":"W3026412984","doi":"10.69554/ftke8739","title":"Risk mitigation strategy to eliminate risks associated with claim management in operational procurement through automation","year":2020,"lang":"en","type":"article","venue":"Journal of supply chain management, logistics and procurement.","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Procurement; Automation; Risk analysis (engineering); Risk management; Business; Operational risk; Operations management; Engineering; Finance; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001060441,0.0003445955,0.0003689795,0.0003961831,0.0002217416,0.0005523425,0.0004180608,0.00008577156,0.0001541881],"category_scores_gemma":[0.0001737837,0.0002861645,0.00005727904,0.001009109,0.00007590289,0.001039181,0.0002478819,0.0003114122,0.00002552226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180259,"about_ca_system_score_gemma":0.00002875468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008108122,"about_ca_topic_score_gemma":0.0001094665,"domain_scores_codex":[0.9973153,0.00004352799,0.0008991957,0.0004387083,0.0009034963,0.0003997408],"domain_scores_gemma":[0.9982878,0.0000356085,0.0009436623,0.0001704027,0.000505858,0.00005669903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002908889,0.002626376,0.1698892,0.006720369,0.002838407,0.001360247,0.002172232,0.1978345,0.000365882,0.3618549,0.07036114,0.1810678],"study_design_scores_gemma":[0.01566068,0.002656382,0.524194,0.004078752,0.003516711,0.00003675878,0.009360325,0.1974069,0.0005605227,0.05921361,0.1796733,0.003642042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2506216,0.000926409,0.674573,0.02899772,0.001094224,0.007646946,0.0001788059,0.0002825256,0.03567883],"genre_scores_gemma":[0.9909877,0.0005657503,0.005330678,0.002386567,0.0004005396,0.0000604759,0.0001257554,0.00003351746,0.0001089901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7403662,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0966635400465696,"score_gpt":0.3053267434827379,"score_spread":0.2086632034361683,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}